Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=5&sort=-keywords
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-keywords", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1442&sort=-keywords", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=6&sort=-keywords", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=-keywords" }, "data": [ { "type": "Grant", "id": "7016", "attributes": { "award_id": "3U19AI089992-09S2", "title": "Core for COVID-19 Cohort IMPACC", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 6484, "first_name": "Gang", "last_name": "Dong", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-05-14", "end_date": "2021-11-30", "award_amount": 940621, "principal_investigator": { "id": 22804, "first_name": "Charles S", "last_name": "Dela Cruz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 10421, "first_name": "David A.", "last_name": "Hafler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true } ] }, { "id": 22805, "first_name": "Albert Icksang", "last_name": "Ko", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] } ], "awardee_organization": { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "Not required by RFA", "keywords": [ "COVID-19", "cohort" ], "approved": true } }, { "type": "Grant", "id": "9160", "attributes": { "award_id": "75N91019D00024-0-759102000003-46", "title": "Develop Pilot Program for Asymptomatic COVID-19 Testing for NCI-Frederick Staff", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2020-08-31", "end_date": "2021-08-30", "award_amount": 158000, "principal_investigator": { "id": 24928, "first_name": "LEONARD", "last_name": "FREEDMAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1610, "ror": "", "name": "LEIDOS BIOMEDICAL RESEARCH, INC.", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1610, "ror": "", "name": "LEIDOS BIOMEDICAL RESEARCH, INC.", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Test samples will be collected by the contractor from asymptomatic volunteers and will be open to all government and contractor staff. The samples will be transported the NIH Clinical Center for analysis. The scope of this effort includes all labor, equipment, logistics, materials and supplies, and management of test records. The collection, storage, and transportation of clinical samples will be in accordance with the NIH Clinical Center protocols.", "keywords": [ "COVID-19", "Clinical", "Collection", "Contractor", "Equipment", "Government", "Logistics", "Protocols documentation", "Records", "Sampling", "Testing", "Transportation", "United States National Institutes of Health", "clinical center", "cost", "programs", "volunteer" ], "approved": true } }, { "type": "Grant", "id": "10216", "attributes": { "award_id": "272201700004C-P00010-9999-2", "title": "COVID-19: NIAID CLINICAL SITE MONITORING", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-02-01", "end_date": "2023-01-31", "award_amount": 912600, "principal_investigator": { "id": 26170, "first_name": "KIMBERLY", "last_name": "SMITH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1807, "ror": "", "name": "PPD, INC.", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The purpose of the Clinical Site Monitoring contract is to provide comprehensive clinical site and study monitoring services for the NIAID clinical trial research portfolio, including the delivery of monitoring services for unanticipated NIAID clinical research projects that may be required in response to emerging needs or public health emergencies. This project will provide clinical trial monitoring services for the COVID-19 clinical trial ACTIV-2 (Outpatient Monoclonal Antibodies And Other Therapies).", "keywords": [ "COVID-19", "Clinical Research", "Clinical Trials", "Contracts", "Monitor", "Monitoring Clinical Trials", "Monoclonal Antibodies", "National Institute of Allergy and Infectious Disease", "Outpatients", "Research", "Research Project Grants", "Services", "clinical research site", "public health emergency", "response" ], "approved": true } }, { "type": "Grant", "id": "9002", "attributes": { "award_id": "272201500015I-P00006-759302000017-4", "title": "Central IRB Services for DMID/NIAID COVID-19 Clinical Trials", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2020-03-30", "end_date": "2021-03-29", "award_amount": 261757, "principal_investigator": { "id": 24834, "first_name": "ANNA", "last_name": "MAHYERA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1787, "ror": "", "name": "MEDICAL SCIENCE & COMPUTING, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1787, "ror": "", "name": "MEDICAL SCIENCE & COMPUTING, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "To provide centralized Institutional Review Board services for DMID/NIAID sponsored COVID-19 clinical protocols.", "keywords": [ "COVID-19", "Clinical Protocols", "Clinical Trials", "Institutional Review Boards", "National Institute of Allergy and Infectious Disease", "Protocols documentation", "Services" ], "approved": true } }, { "type": "Grant", "id": "9003", "attributes": { "award_id": "272201500015I-P00006-759302000017-1", "title": "Central IRB Services for DMID/NIAID COVID-19 Clinical Trials", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2020-03-30", "end_date": "2021-03-29", "award_amount": 32472, "principal_investigator": { "id": 24834, "first_name": "ANNA", "last_name": "MAHYERA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1787, "ror": "", "name": "MEDICAL SCIENCE & COMPUTING, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1787, "ror": "", "name": "MEDICAL SCIENCE & COMPUTING, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "To provide centralized Institutional Review Board services for DMID/NIAID sponsored COVID-19 clinical protocols.", "keywords": [ "COVID-19", "Clinical Protocols", "Clinical Trials", "Institutional Review Boards", "National Institute of Allergy and Infectious Disease", "Protocols documentation", "Services" ], "approved": true } }, { "type": "Grant", "id": "9006", "attributes": { "award_id": "272201500015I-0-759302000017-1", "title": "Central IRB Services for DMID/NIAID COVID-19 Clinical Trials", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2020-03-30", "end_date": "2021-03-29", "award_amount": 387285, "principal_investigator": { "id": 24834, "first_name": "ANNA", "last_name": "MAHYERA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1787, "ror": "", "name": "MEDICAL SCIENCE & COMPUTING, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1787, "ror": "", "name": "MEDICAL SCIENCE & COMPUTING, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "To provide centralized Institutional Review Board services for DMID/NIAID sponsored COVID-19 clinical protocols.", "keywords": [ "COVID-19", "Clinical Protocols", "Clinical Trials", "Institutional Review Boards", "National Institute of Allergy and Infectious Disease", "Protocols documentation", "Services" ], "approved": true } }, { "type": "Grant", "id": "10556", "attributes": { "award_id": "75N95021D00028-0-759502200002-1", "title": "NCATS LINKAGE HONEST BROKER SERVICES TO SUPPORT THE NATIONAL COVID COHORT COLLABORATIVE (N3C) DATA ENCLAVE (COVID-19)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)", "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-29", "end_date": "2023-09-28", "award_amount": 3542761, "principal_investigator": { "id": 26571, "first_name": "SHAUN", "last_name": "GRANNIS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1823, "ror": "", "name": "REGENSTRIEF INSTITUTE, INC.", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "National COVID-19 Cohort Collaborative (N3C): The N3C Data Enclave is a secure platform storing harmonized clinical data provided by more than 50 contributing members. The Enclave hosts over 651 million clinical observations on over 6.5 million persons, including over 2.1 million COVID cases, amounting to more than 7.3 billion rows of data. Harmonization, anonymity, and security is accomplished through the N3C privacy-preserving record linkage (PPRL). The PPRL uses a de-identified, software-generated token applied by a data contributor to each patient record. A linkage honest broker holds the de-identified tokens and provides a service matching token generated across disparate data sets without knowledge of the identity of the patients. The de-identified tokens are held separately from data residing within the data enclave. As an illustration of the PPRL process, Regenstrief generates a series of de-identified tokens using software provided by Datavant, Inc. The tokens are provided to a data provider, such as Hospital Network Alpha (HNA). HNA strips identifying PII from its clinical records and replaces the PII with the tokens. HNA then uploads the de-identified clinical records to N3C. If researchers require additional information about those records, they provide the token to Regenstrief, who passes it on to HNA without any knowledge of the underlying clinical data. HNA then provides the appropriate response. The linkage honest broker function is critical to the PPRL, which in turn is critical to continued use of the N3C Data Enclave by researchers. The salient characteristic of this requirement is the vendor’s ability to provide uninterrupted linkage honest broker support (harmonization, anonymity, and security) for the N3C Data Enclave.", "keywords": [ "COVID-19", "Characteristics", "Clinical", "Clinical Data", "Computer software", "Data", "Data Set", "Hospitals", "Knowledge", "National Center for Advancing Translational Sciences", "Patients", "Persons", "Process", "Provider", "Records", "Research Personnel", "Secure", "Security", "Series", "Services", "Translational Research", "Vendor", "cohort", "coronavirus disease", "data enclave", "member", "privacy preservation", "response" ], "approved": true } }, { "type": "Grant", "id": "10472", "attributes": { "award_id": "75N95021D00028-0-759502200001-1", "title": "NCATS LINKAGE HONEST BROKER (LHB) - PATIENT-CENTERED OUTCOMES RESEARCH (PCOR) TRUST FUND ASPE NATIONAL COVID-19 LONGITUDINAL RESEARCH DATABASE LINKED", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-03-01", "end_date": "2023-02-28", "award_amount": 1199625, "principal_investigator": { "id": 25071, "first_name": "UMBERTO", "last_name": "TACHINARDI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1823, "ror": "", "name": "REGENSTRIEF INSTITUTE, INC.", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1823, "ror": "", "name": "REGENSTRIEF INSTITUTE, INC.", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "National COVID-19 Cohort Collaborative (N3C): The N3C Data Enclave is a secure platform storing harmonized clinical data provided by more than 50 contributing members. The Enclave hosts over 651 million clinical observations on over 6.5 million persons, including over 2.1 million COVID cases, amounting to more than 7.3 billion rows of data. Harmonization, anonymity, and security is accomplished through the N3C privacy-preserving record linkage (PPRL). The PPRL uses a de-identified, software-generated token applied by a data contributor to each patient record. A linkage honest broker holds the de-identified tokens and provides a service matching token generated across disparate data sets without knowledge of the identity of the patients. The de-identified tokens are held separately from data residing within the data enclave. As an illustration of the PPRL process, Regenstrief generates a series of de-identified tokens using software provided by Datavant, Inc. The tokens are provided to a data provider, such as Hospital Network Alpha (HNA). HNA strips identifying PII from its clinical records and replaces the PII with the tokens. HNA then uploads the de-identified clinical records to N3C. If researchers require additional information about those records, they provide the token to Regenstrief, who passes it on to HNA without any knowledge of the underlying clinical data. HNA then provides the appropriate response. The linkage honest broker function is critical to the PPRL, which in turn is critical to continued use of the N3C Data Enclave by researchers. The salient characteristic of this requirement is the vendor’s ability to provide uninterrupted linkage honest broker support (harmonization, anonymity, and security) for the N3C Data Enclave.", "keywords": [ "COVID-19", "Characteristics", "Clinical", "Clinical Data", "Computer software", "Data", "Data Set", "Databases", "Funding", "Hospitals", "Knowledge", "Link", "National Center for Advancing Translational Sciences", "Outcomes Research", "Patient-Focused Outcomes", "Patients", "Persons", "Process", "Provider", "Records", "Research", "Research Personnel", "Secure", "Security", "Series", "Services", "Translational Research", "Trust", "Vendor", "cohort", "coronavirus disease", "data enclave", "member", "privacy preservation", "response" ], "approved": true } }, { "type": "Grant", "id": "14380", "attributes": { "award_id": "316201200036W-P00003-759302200001-3", "title": "THE IMMUNOLOGY DATABASE AND ANALYSIS PORTAL (IMMPORT)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 822770, "principal_investigator": { "id": 30981, "first_name": "ATUL", "last_name": "BUTTE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "As a NIH funded publicly accessible data sharing platform, ImmPort supports immunology research and clinical studies. ImmPort offers curated datasets and reference datasets that adhere to the FAIR Principles and is one of the few trustworthy biomedical data repositories certified by CoreTrustSeal. Within ImmPort, there are two specific datasets that are suitable for NAIRR pilots due to their high level of AI-readiness: the 10K Immunomes Project and the COVID-19 compendium. ImmPort make use of AWS though the NIH STRIDES program that can become a component of the open NAIRR program.", "keywords": [ "COVID-19", "Certification", "Clinical Research", "Data Set", "Databases", "Documentation", "FAIR principles", "Funding", "Immunology", "Infrastructure", "Process", "Readiness", "United States National Institutes of Health", "data access", "data integration", "data repository", "data resource", "data sharing", "programs", "research study", "sharing platform", "trustworthiness" ], "approved": true } }, { "type": "Grant", "id": "9460", "attributes": { "award_id": "75N91019D00024-P00008-759101900129-43", "title": "NCI OPERATIONAL TASK ORDERCOVID-19: INITIATE DCEG COVID-19 CASE STUDY: YT 20-144. PID # 600.129.20.01.018.001.0005COVID-19: INITIATE DCEG COVID-19", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2019-08-31", "end_date": "2020-08-30", "award_amount": 2070472, "principal_investigator": { "id": 24928, "first_name": "LEONARD", "last_name": "FREEDMAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1610, "ror": "", "name": "LEIDOS BIOMEDICAL RESEARCH, INC.", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1610, "ror": "", "name": "LEIDOS BIOMEDICAL RESEARCH, INC.", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "COVID-19", "keywords": [ "COVID-19", "Case Study", "Division of Cancer Epidemiology and Genetics" ], "approved": true } } ], "meta": { "pagination": { "page": 5, "pages": 1442, "count": 14420 } } }